## # A tibble: 10 × 5
## Zip count med_Amount med_lat med_long
## <chr> <int> <dbl> <dbl> <dbl>
## 1 87101 1 14988. 35.7 -106.
## 2 87501 76 8181. 35.7 -106.
## 3 87502 2 11692. 35.6 -106.
## 4 87504 2 1954. 35.7 -106.
## 5 87505 157 10080. 35.6 -106.
## 6 87506 29 14251 35.7 -106.
## 7 87507 173 9631 35.6 -106.
## 8 87508 87 13832 35.6 -106.
## 9 87509 1 19156 35.8 -106.
## 10 87540 1 21360. 35.5 -106.






## # A tibble: 6 × 5
## Zip count med_Amount med_lat med_long
## <chr> <int> <dbl> <dbl> <dbl>
## 1 87112 2 6138. 35.2 -107.
## 2 87114 3 8535 35.3 -107.
## 3 87123 1 2489 35.2 -107.
## 4 87124 673 7800 35.3 -107.
## 5 87144 501 9275 35.3 -107.
## 6 87174 1 3265 35.3 -107.






## # A tibble: 27 × 5
## Zip count med_Amount med_lat med_long
## <chr> <int> <dbl> <dbl> <dbl>
## 1 87008 1 19381 35.1 -106.
## 2 87035 1 5464 34.9 -106.
## 3 87102 24 7808. 35.1 -107.
## 4 87103 1 4440 35.1 -107.
## 5 87104 35 8750 35.1 -107.
## 6 87105 134 7470. 35.0 -107.
## 7 87106 95 6417. 35.1 -107.
## 8 87107 119 8482 35.1 -107.
## 9 87108 134 7202. 35.1 -107.
## 10 87109 304 7434 35.2 -107.
## # ℹ 17 more rows






## Loading required package: lattice
## Loading required package: grid
## Loading required package: chron






Overall Sales
|
Variable
|
N
|
Mean
|
Std. Dev.
|
Min
|
Pctl. 25
|
Pctl. 75
|
Max
|
|
GrossAmount
|
7846
|
12134
|
11567
|
0
|
4764
|
15422
|
122703
|
|
Latitude
|
7846
|
35
|
0.38
|
32
|
35
|
35
|
38
|
|
Longitude
|
7846
|
-107
|
0.39
|
-109
|
-107
|
-107
|
-103
|
Albuquerque Sales
|
Variable
|
N
|
Mean
|
Std. Dev.
|
Min
|
Pctl. 25
|
Pctl. 75
|
Max
|
|
GrossAmount
|
4263
|
11070
|
11079
|
0
|
4163
|
13616
|
122703
|
|
Latitude
|
4263
|
35
|
0.049
|
35
|
35
|
35
|
35
|
|
Longitude
|
4263
|
-107
|
0.088
|
-107
|
-107
|
-107
|
-106
|
Rio Rancho Sales
|
Variable
|
N
|
Mean
|
Std. Dev.
|
Min
|
Pctl. 25
|
Pctl. 75
|
Max
|
|
GrossAmount
|
1181
|
11640
|
9981
|
0
|
5160
|
14836
|
67300
|
|
Latitude
|
1181
|
35
|
0.036
|
35
|
35
|
35
|
35
|
|
Longitude
|
1181
|
-107
|
0.055
|
-107
|
-107
|
-107
|
-106
|
Metro Area Sales
|
Variable
|
N
|
Mean
|
Std. Dev.
|
Min
|
Pctl. 25
|
Pctl. 75
|
Max
|
|
GrossAmount
|
529
|
14493
|
13257
|
0
|
5681
|
18892
|
100000
|
|
Latitude
|
529
|
36
|
0.054
|
35
|
36
|
36
|
36
|
|
Longitude
|
529
|
-106
|
0.053
|
-106
|
-106
|
-106
|
-106
|
Santa Fe Sales
|
Variable
|
N
|
Mean
|
Std. Dev.
|
Min
|
Pctl. 25
|
Pctl. 75
|
Max
|
|
GrossAmount
|
|
|
|
|
|
|
|
|
Latitude
|
|
|
|
|
|
|
|
|
Longtitude
|
|
|
|
|
|
|
|
## `geom_smooth()` using formula = 'y ~ x'

##
## To cite package 'ggmap' in publications use:
##
## D. Kahle and H. Wickham. ggmap: Spatial Visualization with ggplot2.
## The R Journal, 5(1), 144-161. URL
## http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf
##
## A BibTeX entry for LaTeX users is
##
## @Article{,
## author = {David Kahle and Hadley Wickham},
## title = {ggmap: Spatial Visualization with ggplot2},
## journal = {The R Journal},
## year = {2013},
## volume = {5},
## number = {1},
## pages = {144--161},
## url = {https://journal.r-project.org/archive/2013-1/kahle-wickham.pdf},
## }
## R version 4.2.2 (2022-10-31 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 19045)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.utf8
## [2] LC_CTYPE=English_United States.utf8
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.utf8
##
## attached base packages:
## [1] grid stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] lattice_0.20-45 psych_2.3.3 vtable_1.4.4
## [4] kableExtra_1.3.4 lubridate_1.9.2 ggmap_3.0.2
## [7] rgdal_1.6-7 maptools_1.1-7 sp_1.6-1
## [10] usmap_0.6.2 ggpointdensity_0.1.0 viridis_0.6.3
## [13] viridisLite_0.4.2 tidyr_1.3.0 stringr_1.5.0
## [16] dplyr_1.1.2 readxl_1.4.2 tidygeocoder_1.0.5
## [19] ggplot2_3.4.2
##
## loaded via a namespace (and not attached):
## [1] httr_1.4.6 sass_0.4.6 splines_4.2.2
## [4] jsonlite_1.8.5 bslib_0.5.0 highr_0.10
## [7] cellranger_1.1.0 yaml_2.3.7 pillar_1.9.0
## [10] glue_1.6.2 digest_0.6.31 rvest_1.0.3
## [13] colorspace_2.1-0 Matrix_1.5-1 htmltools_0.5.5
## [16] plyr_1.8.8 pkgconfig_2.0.3 purrr_1.0.1
## [19] scales_1.2.1 webshot_0.5.4 svglite_2.1.1
## [22] jpeg_0.1-10 timechange_0.2.0 tibble_3.2.1
## [25] mgcv_1.8-41 generics_0.1.3 farver_2.1.1
## [28] sjlabelled_1.2.0 cachem_1.0.8 withr_2.5.0
## [31] cli_3.6.1 mnormt_2.1.1 magrittr_2.0.3
## [34] evaluate_0.21 fansi_1.0.4 nlme_3.1-160
## [37] xml2_1.3.4 foreign_0.8-83 tools_4.2.2
## [40] RgoogleMaps_1.4.5.3 lifecycle_1.0.3 munsell_0.5.0
## [43] compiler_4.2.2 jquerylib_0.1.4 systemfonts_1.0.4
## [46] rlang_1.1.1 rstudioapi_0.14 bitops_1.0-7
## [49] labeling_0.4.2 rmarkdown_2.22 gtable_0.3.3
## [52] R6_2.5.1 gridExtra_2.3 knitr_1.43
## [55] fastmap_1.1.1 utf8_1.2.3 insight_0.19.2
## [58] stringi_1.7.12 parallel_4.2.2 Rcpp_1.0.10
## [61] vctrs_0.6.2 png_0.1-8 tidyselect_1.2.0
## [64] xfun_0.39